Azim Ahmadzadeh

According to our database, Azim Ahmadzadeh authored at least 23 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Contingency Space: A Semimetric Space for Classification Evaluation.

Azim Ahmadzadeh, Dustin J. Kempton, Petrus C. Martens, Rafal A. Angryk

IEEE Trans. Pattern Anal. Mach. Intell., 2023

2022

CGAN-based synthetic multivariate time-series generation: a solution to data scarcity in solar flare forecasting.

Yang Chen, Dustin J. Kempton, Azim Ahmadzadeh, Junzhi Wen, Anli Ji, Rafal A. Angryk

Neural Comput. Appl., 2022

TS-MIoU: A Time Series Similarity Metric Without Mapping.

Azim Ahmadzadeh, Yang Chen, Krishna Rukmini Puthucode, Ruizhe Ma, Rafal A. Angryk

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Measuring Class-Imbalance Sensitivity of Deterministic Performance Evaluation Metrics.

Azim Ahmadzadeh, Rafal A. Angryk

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Improving Solar Flare Prediction by Time Series Outlier Detection.

Junzhi Wen, Md Reazul Islam, Azim Ahmadzadeh, Rafal A. Angryk

Proceedings of the Artificial Intelligence and Soft Computing, 2022

2021

How to Train Your Flare Prediction Model: Revisiting Robust Sampling of Rare Events.

Azim Ahmadzadeh, Berkay Aydin, Manolis K. Georgoulis, Dustin J. Kempton, Sushant S. Mahajan, Rafal A. Angryk

CoRR, 2021

Feature Selection on a Flare Forecasting Testbed: A Comparative Study of 24 Methods.

Atharv Yeolekar, Sagar Patel, Shreejaa Talla, Krishna Rukmini Puthucode, Azim Ahmadzadeh, Viacheslav M. Sadykov, Rafal A. Angryk

Proceedings of the 2021 International Conference on Data Mining, 2021

Multiscale IOU: A Metric for Evaluation of Salient Object Detection with Fine Structures.

Azim Ahmadzadeh, Dustin J. Kempton, Yang Chen, Rafal A. Angryk

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Towards Synthetic Multivariate Time Series Generation for Flare Forecasting.

Yang Chen, Dustin J. Kempton, Azim Ahmadzadeh, Rafal A. Angryk

Proceedings of the Artificial Intelligence and Soft Computing, 2021

2020

MVTS-Data Toolkit: A Python package for preprocessing multivariate time series data.

Azim Ahmadzadeh, Kankana Sinha, Berkay Aydin, Rafal A. Angryk

SoftwareX, 2020

Machine Learning in Heliophysics and Space Weather Forecasting: A White Paper of Findings and Recommendations.

Gelu Nita, Manolis K. Georgoulis, Irina Kitiashvili, Viacheslav Sadykov, Enrico Camporeale, Alexander Kosovichev, Haimin Wang, Vincent Oria, Jason T. L. Wang, Rafal A. Angryk, Berkay Aydin, Azim Ahmadzadeh, Xiaoli Bai, Timothy Bastian, Soukaina Filali Boubrahimi, Bin Chen, Alisdair Davey, Sheldon Fereira, Gregory Fleishman, Dale Gary, Andrew Gerrard, Gregory Hellbourg, Katherine Herbert, Jack Ireland, Egor Illarionov, Natsuha Kuroda, Qin Li, Chang Liu, Yuexin Liu, Hyomin Kim, Dustin Kempton, Ruizhe Ma, Petrus C. Martens, Ryan M. McGranaghan, Edward Semones, John T. Stefan, Andrey Stejko, Yaireska Collado-Vega, Meiqi Wang, Yan Xu, Sijie Yu

CoRR, 2020

Solar Line-of-Sight Magnetograms Super-Resolution Using Deep Neural Networks.

Mohammed Shoebuddin Habeeb, Berkay Aydin, Azim Ahmadzadeh, Manolis K. Georgoulis, Rafal A. Angryk

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Deep Neural Network-based Active Region Magnetogram Patch Super Resolution.

Mohammed Shoebuddin Habeeb, Berkay Aydin, Azim Ahmadzadeh, Manolis K. Georgoulis, Rafal A. Angryk

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

On The Effectiveness of Imaging of Time Series for Flare Forecasting Problem.

Yang Chen, Anli Ji, Pavan Ajit Babajiyavar, Azim Ahmadzadeh, Rafal A. Angryk

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

A Curated Image Parameter Dataset from Solar Dynamics Observatory Mission.

Azim Ahmadzadeh, Dustin J. Kempton, Rafal A. Angryk

CoRR, 2019

Rare-Event Time Series Prediction: A Case Study of Solar Flare Forecasting.

Azim Ahmadzadeh, Berkay Aydin, Dustin J. Kempton, Maxwell Hostetter, Rafal A. Angryk, Manolis K. Georgoulis, Sushant S. Mahajan

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

A Scalable Segmented Dynamic Time Warping for Time Series Classification.

Ruizhe Ma, Azim Ahmadzadeh, Soukaïna Filali Boubrahimi, Rafal A. Angryk

Proceedings of the Artificial Intelligence and Soft Computing, 2019

Solar Pre-Flare Classification with Time Series Profiling.

Ruizhe Ma, Azim Ahmadzadeh, Soukaina Filali Boubrahimi, Manolis K. Georgoulis, Rafal A. Angryk

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Understanding the Impact of Statistical Time Series Features for Flare Prediction Analysis.

Maxwell Hostetter, Azim Ahmadzadeh, Berkay Aydin, Manolis K. Georgoulis, Dustin J. Kempton, Rafal A. Angryk

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Toward Filament Segmentation Using Deep Neural Networks.

Azim Ahmadzadeh, Sushant S. Mahajan, Dustin J. Kempton, Rafal A. Angryk, Shihao Ji

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Challenges with Extreme Class-Imbalance and Temporal Coherence: A Study on Solar Flare Data.

Azim Ahmadzadeh, Maxwell Hostetter, Berkay Aydin, Manolis K. Georgoulis, Dustin J. Kempton, Sushant S. Mahajan, Rafal A. Angryk

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Segmentation of Time Series in Improving Dynamic Time Warping.

Ruizhe Ma, Azim Ahmadzadeh, Soukaina Filali Boubrahimi, Rafal A. Angryk

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Improving the functionality of tamura directionality on solar images.

Azim Ahmadzadeh, Dustin J. Kempton, Michael A. Schuh, Rafal A. Angryk

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017